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BCAM Receives Two Awards at the SEIO – BBVA Foundation Awards 2025 Ceremony
Yesterday, February 26, BCAM received two awards recognizing the pioneering nature of its research in two key areas: Best Methodological Contribution in Operations Research; and Best Contribution in Statistics and Operations Research Applied to Data Science and Big Data. María Merino Maestre…
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Granada hosted the 17th edition of a well-established international scientific conference founded in 2010,
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The renewal reaffirms both institutions’ commitment to fostering the exchange of undergraduate, graduate, and junior/senior researchers, developing joint research and educational
Events
BCAM Naukas Pi Day returns with its seventh edition
- BCAM, the Naukas science communication platform, and the Chair of Scientific Culture at the University of the Basque Country are joining forces once again to celebrate the seventh edit
Latest publications
View allAn optimal fractional Hardy inequality on the discrete half-line
Das, U.; de la Fuente-Fernández, R. (2026-01-12)
In the context of Hardy inequalities for the fractional Laplacian $(-\Delta_{\mathbb{N}})^{\sigma}$ on the discrete half-line $\mathbb{N}$, we provide an optimal Hardy-weight $W^{\mathrm{op}}_{\sigma}$ for exponents $\sigma\...
A Novel Multi-Resolution Heart Rate Variability Analysis for IoT-based Drowsiness Detection: Preserving Temporal Trends in Features Series
Hafidi, H.E.; De Giovanni, E.; Montanaro, T.; Sergi, I.; De Vittorio, M.; Patrono, L. (2025-07-30)
Heart rate variability (HRV) analysis provides valuable insights into autonomic nervous system regulation and serves as an effective indicator for drowsiness detection in transportation safety applications. This study presen...
Human-Centered and Context-Aware Smart ML-based IoT Framework for Online Fatigue Detection: a Real-World Study of Football Training
Mamen, A.; De Giovanni, E.; Montanaro, T.; Sergi, I.; Patrono, L. (2025-12-08)
Fatigue is one of the factors that most influences competitive athletes’ performance, leading to injuries and overtraining. To effectively monitor and predict fatigue levels during real-world training, it is necessary to int...
Variational Autoencoder-Based Alert System for Onshore Wind Turbine: Application to a Real Case Study
Zamora-Sánchez, D.; Fernandez-Navamuel, A.; Pardo, D.; Magalhães, F.; Pereira, S. (2025-10-01)
Structural Health Monitoring (SHM) of wind turbines is still far from a practical and effective implementation. One of the main limitations is the access to long-term experimental data from operative systems, as well as the ...